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    Job · 10976835

    BENGALURU · FULLTIME

    Databricks

    VP

    Vinovaai Private Limited

    Bengaluru · onsite · Posted 71d ago

    Sourced fromFoundit
    Not disclosed4–10 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Title: Databricks

    Location: Bangalore, Pune, Mumbai, Kolkata, Delhi, Hyderabad, Bhubhaneshwar, Coimbatore

    MOI: F2F

    Mandatory skills:

    Databricks, Pyspark, SQL, Azure Functions, Live / Streaming / batch processing data, Azure Data Factory (ADF), Logic Apps.

    ELT / ETL, Data Integration & Ingestion, Data Manipulation and Processing, GITHUB, Action, Azure DevOps

    Optional skills: Synapse, Data Modelling.

    Experience in project management, running a scrum team.

    Exposure to working with external technical ecosystem.

     

    Key Skills:

    • Design and implement scalable, secure, and high-performance data architectures on Azure.

    • Design, develop, and optimize ETL/ELT data pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics.

    • Implement data ingestion, transformation, and storage solutions using Azure Data Lake, Azure SQL, and Azure Synapse.

    • Develop batch and real-time data processing solutions using Azure services like Delta Live Tables, Event Hubs, Stream Analytics, and Azure Functions.

    • Development experience as a data engineer with focus on core tools and technologies like ADF, Databricks, Key Vault, ADLS, SQL Server / Any RDMS, Fabric, Azure Synapse. 

    • Strong SQL and Python skills for data transformation and analysis.

    • Design and implement data models, schemas, and performance-optimized queries.

    • Work with structured, semi-structured, and unstructured data sources.

    • Ensure data quality, governance, and security in all solutions.

    • Deploy data solutions using Azure DevOps CI/CD pipelines.

    • Work closely with data scientists, analysts, and business users to support data-driven decision-making.

    • Troubleshoot and optimize data workflows for scalability and performance.

    • Ensure data solutions are cost-optimized, scalable, and secure on Azure.

    • Implement logging, monitoring, and alerting solutions using Azure Monitor and Log Analytics

     

    Secondary skills:

    • Project management – status reports, stand up, knowledge on Agile methodology

    • Stake holder management

    • Mentor data engineers and analysts

    • Provide technical direction and design reviews

    • A determined focus on the user and user experience when problem- solving

    • Team player and able to collaborate, proactively communicates and shares understanding and experience within a team 

    • Clear communicator and able to work in a multicultural/lingual environment 

    • Uses initiative and owns their deliverables end-to-end 

    • Brings ideas to the table, is inquisitive and excited by new technology  

    • Used to working in a flexible, independent manner on a mixture of small unstructured and large structured items 

    • Provides regular, considered feedback and regularly strives to improve their own ways of working

     

    Soft Skills:

    • Engage with business leaders, developers, infra, and security teams

    • Understand business requirements deeply

    • Manage expectations and negotiate priorities

    • self-starter and proactive to provide cost and performance-oriented solutions.                                                               

     

    Preferred Qualifications / Certifications

    • Minimum 5+ years of experience

    • Any graduation, Btech, BE, MBA, BSC, MSC

    • Experience working in regulated environments and with internal systems quality policies and procedures.

    • Experience in development and deployment on cloud infrastructure.

    • Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect).

    • Databricks Certification 

    Sourced from foundit

    Section · 02

    Skills

    DatabricksPythonMicrosoft Azure

    Databricks · waiting for your command